bofusions-geo-mcp 1.0.0

Bofusions GEO MCP Server — AI Search Engine Optimization (GEO) analysis tools for MCP clients

Bofusions GEO MCP

AI Search Engine Optimization (GEO) analysis tools for MCP clients

by Bofusions

Optimize your website for AI-powered search engines — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.

What is GEO?

GEO (Generative Engine Optimization) is the practice of optimizing web content so AI models can find, understand, and cite it. Traditional SEO focuses on Google rankings. GEO focuses on being the source AI models quote.

Tools (7)

Tool	Description
geo_audit	Full GEO audit with scoring (0-100) and prioritized actions
geo_citability	Score content passages for AI citation readiness
geo_brand_scan	Scan brand mentions across YouTube, Reddit, Wikipedia, LinkedIn, etc.
geo_llmstxt	Validate or generate llms.txt for AI crawler guidance
geo_technical	Technical SEO/GEO analysis (SSR, robots.txt, meta tags)
geo_schema	Analyze JSON-LD structured data for AI discoverability
geo_report	Comprehensive markdown report combining all analyses

Installation

# Run directly (recommended)
uvx bofusions-geo-mcp

# Or install with pip
pip install bofusions-geo-mcp

Configuration

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "Bofusions GEO": {
      "command": "uvx",
      "args": ["bofusions-geo-mcp"]
    }
  }
}

5ire / Other MCP Clients

{
  "mcpServers": {
    "bofusions-geo": {
      "command": "uvx",
      "args": ["bofusions-geo-mcp"]
    }
  }
}

Usage Examples

Full GEO Audit

Run a GEO audit on https://example.com

Citability Analysis

Check AI citability scores for https://example.com/blog/post

Brand Scan

Scan brand mentions for "Bofusions" across AI-cited platforms

Generate llms.txt

Generate an llms.txt file for https://example.com

Comprehensive Report

Generate a GEO report for https://example.com with brand name "Acme Corp"

GEO Score Components

Component	Weight	Description
AI Citability	25%	Passage-level citation readiness
Brand Authority	20%	Mentions on AI-cited platforms
Content Quality	20%	E-E-A-T, readability, originality
Technical	15%	SSR, robots.txt, crawlability
Structured Data	10%	JSON-LD schema completeness
Platform Opt.	10%	llms.txt, platform-specific readiness

Key Insights

• AI-referred traffic grew +527% year-over-year
• Brand mentions correlate 3x more strongly with AI visibility than backlinks
• Optimal AI-cited passages are 134-167 words, self-contained
• YouTube presence has the highest correlation (0.737) with AI citations

Development

# Clone
git clone https://github.com/bofusions/bofusions-geo-mcp.git
cd bofusions-geo-mcp

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows

# Install dependencies
pip install -e .

# Run server
python -m bofusions_geo_mcp.server

Requirements

• Python 3.11+
• httpx
• beautifulsoup4
• lxml
• mcp[cli]

License

MIT License — Copyright (c) 2026 Bofusions

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Bofusions — Building the future of AI-powered search optimization.